The tracking of the use of research has become central to the measurement of research impact. While historically this tracking has meant using citations to published papers, the results are old, biased, and inaccessible – and stakeholders need current data to make funding decisions. We can do much better. Today’s users of research interact with that research online. This leaves an unprecedented data trail that can provide detailed data on the attention that specific research outputs, institutions, or domains receive.
However, while the promise of real time information is tantalizing, the collection of this data is outstripping our knowledge of how best to use it, our understanding of its utility across differing research domains and our ability to address the privacy and confidentiality issues. This is particularly true in the field of Humanities and Social Sciences, which have historically been under represented in the collection of scientific corpora of citations, and which are now under represented by the tools and analysis approaches being developed to track the use and attention received by STM research outputs.
We will convene a meeting that combines a discussion of the state of the art in one way in which research impact can be measured – Article Level and Altmetrics – with a critical analysis of current gaps and identification of ways to address them in the context of Humanities and Social Sciences.
We would like to announce that Altmetric have begun tracking mentions of academic articles on Chinese microblogging site Sina Weibo, and the data will shortly be fully integrated into existing Altmetric tools.
The mentions collated will be visible to users via the Altmetric Explorer, a web-based application that allows users to browse the online mentions of any academic article, and, where appropriately licensed, via the article metrics data on publisher platforms.
Launched in 2009, Sina Weibo has become one of the largest social media sites in China, and is most often likened to Twitter. Integrating this data means that Altmetric users will now be able to see a much more global view of the attention an article has received. Altmetric is currently the only article level metrics provider to offer this data.
I’m looking forward to moderating a panel on day 1 of the AAAS Forum on Science and Technology Policy.
2:00 Current Issues in S&T Policy (Breakout Sessions)(A) Measuring the Impacts of Science
• What are the policy relevant challenges, tools, and approaches to measuring the social impact of scientific research? • How can improved indicators capture change in science, technology, and innovation? • Are altmetrics the solution to measuring social impacts?Moderator: J. Britt Holbrook, Visiting Assistant Professor, School of Public Policy, Georgia Institute of Technology; and Member, AAAS Committee on Scientific Freedom and ResponsibilityKaye Husbands Fealing, Professor, Center for Science, Technology and Environmental Policy, Humphrey School of Public Affairs, University of Minnesota; Senior Study Director, National Academy of Sciences, Committee on National Statistics; and Member, AAAS Committee on Science, Engineering, and Public PolicyGil Omenn, Director, Center for Computational Medicine and Bioinformatics, University of MichiganMike Taylor, Research Specialist, Elsevier Labs
Thanks to one of my students — Addison Amiri — for pointing out this piece by @Richvn.
To what degree is quantity being substituted for quality in today’s research assessment exercises? This strikes me as a symptom of the overvaluation of efficiency.
Higgs said he became \”an embarrassment to the department when they did research assessment exercises\”. A message would go around the department saying: \”Please give a list of your recent publications.\” Higgs said: \”I would send back a statement: \’None.\’ \”
Thanks to Lance Weihmuller for pointing me to the article.
This is definitely worth a look, whether you’re into the idea of post-publication peer review or not.
Impact Story is one of the two altmetrics tools that allow individual researchers to find out something about the social media buzz surrounding their activities; the other is Altmetric.com. Although other developers exist, I can’t seem to figure out how I, as an individual, can use their tools (I’m looking at you, Plum Analytics).
There are a few major differences between Impact Story and Altmetric.com from a user standpoint. First, Impact Story is not for profit, while Altmetric.com is a business. Second, Impact Story steers one to create a collection of products that together tell a story of one’s impact. Altmetric.com, on the other hand, steers one to generate figures for the impact of individual products. Third, Impact Story allows for a range of products, including those tagged with URLs as well as DOIs; Altmetric.com only works with DOIs. This means that Impact Story can gather info on things like blog posts, while Altmetric.com is focused on scholarly articles. Finally, and this is a big difference, Impact Story deemphasizes numbers, while Atlmetric.com assigns a number, the Altmetric score, to each product.
Here is my latest Impact Story.
It’s interesting to see how Impact Story and Altmetric differ, both in their approaches and in terms of what they find on the same products.
I think the implications of these tools are enormous. I’d be interested to hear your thoughts!